Abstract: This article investigates a novel robust Kalman filter (RKF) by incorporating kernel density estimation (KDE) in the Kalman filtering framework to address the disturbance of measurement ...
AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
WEDNESDAY, July 16, 2025 (HealthDay News) -- An artificial intelligence (AI)-assisted diagnostic system can accurately estimate bone mineral density (BMD) and classify osteoporosis category, according ...
We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...
Recently, the Linux kernel community was shocked when Greg Kroah-Hartman, a senior Linux kernel leader, announced in a patch that several Russian Linux maintainers had been removed from their roles ...
Density estimation methods often involve kernels, but there are advantages to using splines. Especially if the shape of the density is known to be decreasing, or unimodal, or bimodal, or if the ...
ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...
ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...
A wolverine walks across the snow in 2018 near the Toolik Field Station on Alaska's North Slope. Wolverines are elusive and need a lot of space, so they are hard to count, but a new study gives an ...
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